Less pedantically you can quite easily and elegantly drop nans, str->float, perform just about any operation over a rolling window and perform trig functions on it. Generally in a much more sane way than pandas.
In my life as an analyst and data scientist I've found SQL to be far, far superior to pandas for something like 90-95% of tasks.
Less pedantically you can quite easily and elegantly drop nans, str->float, perform just about any operation over a rolling window and perform trig functions on it. Generally in a much more sane way than pandas.
In my life as an analyst and data scientist I've found SQL to be far, far superior to pandas for something like 90-95% of tasks.